Wen, L.Y.[Ling-Yun],
Guo, G.D.[Guo-Dong],
A computational approach to body mass index prediction from face images,
IVC(31), No. 5, May 2013, pp. 392-400.
Elsevier DOI
1305
Body mass index (BMI); Facial features; BMI prediction; Machine
vision; Large database
BibRef
Jiang, M.[Min],
Shang, Y.Y.[Yuan-Yuan],
Guo, G.D.[Guo-Dong],
Computational approach to body mass index estimation from dressed
people in 3D space,
IET-IPR(14), No. 7, 29 May 2020, pp. 1248-1256.
DOI Link
2005
BibRef
Gonzalez-Sosa, E.[Ester],
Vera-Rodriguez, R.[Ruben],
Fierrez, J.[Julian],
Moreno-Moreno, M.[Miriam],
Ortega-Garcia, J.[Javier],
Feature exploration for biometric recognition using millimetre wave
body images,
JIVP(2015), No. 1, 2015, pp. 30.
DOI Link
1509
BibRef
Earlier: A1, A2, A3, A5, Only:
Comparison of Body Shape Descriptors for Biometric Recognition Using
MMW Images,
ICPR14(124-129)
IEEE DOI
1412
Biomedical imaging
BibRef
Vera-Rodriguez, R.[Ruben],
Gonzalez-Sosa, E.[Ester],
Hernandez-Ortega, J.[Javier],
Fierrez, J.[Julian],
Body Shape-Based Biometric Person Recognition from mmW Images,
IbPRIA17(453-461).
Springer DOI
1706
BibRef
Huang, B.Z.[Bu-Zhen],
Zhang, T.S.[Tian-Shu],
Wang, Y.G.[Yan-Gang],
Object-Occluded Human Shape and Pose Estimation With Probabilistic
Latent Consistency,
PAMI(45), No. 4, April 2023, pp. 5010-5026.
IEEE DOI
2303
BibRef
Earlier: A2, A1, A3:
Object-Occluded Human Shape and Pose Estimation From a Single Color
Image,
CVPR20(7374-7383)
IEEE DOI
2008
Shape, Color, Training, Pose estimation, Image reconstruction,
Face recognition, 3-D human shape and pose estimation, inpainting.
Shape, Color, Training, Pose estimation
BibRef
Jiang, M.[Min],
Guo, G.D.[Guo-Dong],
Mu, G.W.[Guo-Wang],
Visual BMI estimation from face images using a label distribution
based method,
CVIU(197-198), 2020, pp. 102985.
Elsevier DOI
2008
Visual BMI estimation, Label distribution based method,
Two-stage learning framework
BibRef
Zou, S.H.[Shi-Hao],
Zuo, X.X.[Xin-Xin],
Qian, Y.M.[Yi-Ming],
Wang, S.[Sen],
Xu, C.[Chi],
Gong, M.L.[Ming-Lun],
Cheng, L.[Li],
3d Human Shape Reconstruction from a Polarization Image,
ECCV20(XIV:351-368).
Springer DOI
2011
BibRef
Zhao, Y.,
Dou, Y.,
Feng, J.,
Temporally Refined Graph U-Nets for Human Shape and Pose Estimation
From Monocular Videos,
SPLetters(27), 2020, pp. 1949-1953.
IEEE DOI
2011
Shape, Videos, Solid modeling, residual temporal graph CNN
BibRef
Li, K.[Kun],
Wen, H.[Hao],
Feng, Q.[Qiao],
Zhang, Y.X.[Yu-Xiang],
Li, X.Z.[Xiong-Zheng],
Huang, J.[Jing],
Yuan, C.K.[Cun-Kuan],
Lai, Y.K.[Yu-Kun],
Liu, Y.B.[Ye-Bin],
Image-Guided Human Reconstruction via Multi-Scale Graph
Transformation Networks,
IP(30), 2021, pp. 5239-5251.
IEEE DOI
2106
Shape, Solid modeling, Image reconstruction, Strain, Geometry, Training,
dataset
BibRef
Rashmi, R.[Richa],
Umapathy, S.[Snekhalatha],
Krishnan, P.T.[Palani Thanaraj],
Thermal imaging method to evaluate childhood obesity based on machine
learning techniques,
IJIST(31), No. 3, 2021, pp. 1752-1768.
DOI Link
2108
childhood obesity, feature extraction, feature fusion,
feature ranking, machine learning algorithms, obesity, PCA, thermal imaging
BibRef
Dhanamjayulu, C.,
Nizhal, N.U.,
Maddikunta, P.K.R.[Praveen Kumar Reddy],
Gadekallu, T.R.[Thippa Reddy],
Iwendi, C.[Celestine],
Wei, C.[Chuliang],
Xin, Q.[Qin],
Identification of malnutrition and prediction of BMI from facial
images using real-time image processing and machine learning,
IET-IPR(16), No. 3, 2022, pp. 647-658.
DOI Link
2202
BibRef
Jin, Z.[Zhi],
Huang, J.J.[Jun-Jia],
Xiong, A.[Aolin],
Pang, Y.X.[Yu-Xian],
Wang, W.J.[Wen-Jin],
Ding, B.C.[Bei-Chen],
Attention guided deep features for accurate body mass index
estimation,
PRL(154), 2022, pp. 22-28.
Elsevier DOI
2202
Deep features, BMI Estimation, Attention Mechanism, Deep Features
BibRef
Zhang, H.W.[Hong-Wen],
Cao, J.[Jie],
Lu, G.[Guo],
Ouyang, W.L.[Wan-Li],
Sun, Z.A.[Zhen-An],
Learning 3D Human Shape and Pose From Dense Body Parts,
PAMI(44), No. 5, May 2022, pp. 2610-2627.
IEEE DOI
2204
Shape, Task analysis, Solid modeling, Predictive models,
Pose estimation, 3D human shape and pose estimation,
part-based dropout
BibRef
Guo, H.[Hao],
Fan, X.C.[Xiao-Chuan],
Wang, S.[Song],
Visual Attention Consistency for Human Attribute Recognition,
IJCV(130), No. 1, January 2022, pp. 1088-1106.
Springer DOI
2204
BibRef
Hu, P.P.[Peng-Peng],
Ho, E.S.L.[Edmond Shu-Lim],
Munteanu, A.[Adrian],
3DBodyNet: Fast Reconstruction of 3D Animatable Human Body Shape From
a Single Commodity Depth Camera,
MultMed(24), No. 2022, pp. 2139-2149.
IEEE DOI
2204
Shape, Image reconstruction, Cameras, Solid modeling, Clothing,
Deep learning, Human body shape, Body shape under clothing,
deep learning on point clouds
BibRef
Zheng, Z.R.[Ze-Rong],
Yu, T.[Tao],
Liu, Y.B.[Ye-Bin],
Dai, Q.H.[Qiong-Hai],
PaMIR: Parametric Model-Conditioned Implicit Representation for
Image-Based Human Reconstruction,
PAMI(44), No. 6, June 2022, pp. 3170-3184.
IEEE DOI
2205
Image reconstruction,
Surface reconstruction, Solid modeling, Estimation, Training, Shape,
implicit surface function
BibRef
Tonini, A.[Andrea],
Painho, M.[Marco],
Castelli, M.[Mauro],
Estimation of Human Body Height Using Consumer-Level UAVs,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Kaashki, N.N.[Nastaran Nourbakhsh],
Hu, P.P.[Peng-Peng],
Munteanu, A.[Adrian],
Anet: A Deep Neural Network for Automatic 3D Anthropometric
Measurement Extraction,
MultMed(25), 2023, pp. 831-844.
IEEE DOI
2303
Point cloud compression, Training, Deep learning, Loss measurement,
Fitting, Data mining, Anthropometric measurement extraction,
template fitting
BibRef
Peng, S.[Sida],
Geng, C.[Chen],
Zhang, Y.Q.[Yuan-Qing],
Xu, Y.H.[Ying-Hao],
Wang, Q.Q.[Qian-Qian],
Shuai, Q.[Qing],
Zhou, X.W.[Xiao-Wei],
Bao, H.J.[Hu-Jun],
Implicit Neural Representations With Structured Latent Codes for
Human Body Modeling,
PAMI(45), No. 8, August 2023, pp. 9895-9907.
IEEE DOI
2307
Codes, Rendering (computer graphics), Geometry,
Image reconstruction, Image color analysis, Cameras, novel view synthesis
BibRef
Jin, Z.[Zhi],
Huang, J.J.[Jun-Jia],
Wang, W.J.[Wen-Jin],
Xiong, A.[Aolin],
Tan, X.J.[Xiao-Jun],
Estimating Human Weight From a Single Image,
MultMed(25), 2023, pp. 2515-2527.
IEEE DOI
2307
Feature extraction, Estimation, Skeleton, Weight measurement, Faces,
Extraterrestrial measurements, Arms, Visual estimation of BMI,
2-Dimage-to-BMI dataset
BibRef
Yu, C.[Cong],
Wu, Z.[Zhi],
Zhang, D.H.[Dong-Heng],
Lu, Z.[Zhi],
Hu, Y.[Yang],
Chen, Y.[Yan],
RFGAN: RF-Based Human Synthesis,
MultMed(25), 2023, pp. 2926-2938.
IEEE DOI
2307
RF signals, Radio frequency, Generative adversarial networks,
Heating systems, Data models, Predictive models, Optical imaging,
RF sensing
BibRef
Li, X.[Xihang],
Li, G.Q.[Gui-Qin],
Li, M.[Ming],
Liu, K.L.[Kui-Liang],
Mitrouchev, P.[Peter],
3D human body modeling with orthogonal human mask image based on
multi-channel Swin transformer architecture,
IVC(137), 2023, pp. 104795.
Elsevier DOI
2309
Body shape space, Human shape estimation,
Orthogonal human mask, Swin transformer, Body shape classification
BibRef
Kim, J.[Jeonghwan],
Um, G.M.[Gi-Mun],
Seo, J.[Jeongil],
Kim, W.J.[Won-Jun],
Part-attentive kinematic chain-based regressor for 3D human modeling,
JVCIR(95), 2023, pp. 103881.
Elsevier DOI
2309
3D human modeling, Deep Neural Networks, Body part attentions,
Kinematic chain-based decoder
BibRef
Zhang, H.R.[Hong-Run],
Meng, Y.[Yanda],
Zhao, Y.T.[Yi-Tian],
Qian, X.S.[Xue-Sheng],
Qiao, Y.H.[Yi-Hong],
Yang, X.Y.[Xiao-Yun],
Zheng, Y.L.[Ya-Lin],
3D Human Pose and Shape Reconstruction From Videos via
Confidence-Aware Temporal Feature Aggregation,
MultMed(25), 2023, pp. 3868-3880.
IEEE DOI
2310
BibRef
Yue, T.Y.[Tian-Yi],
Ren, K.[Keyan],
Shi, Y.[Yu],
Zhao, H.[Hu],
Bian, Q.Y.[Qing-Yun],
Confidence sharing adaptation for out-of-domain human pose and shape
estimation,
CVIU(246), 2024, pp. 104051.
Elsevier DOI Code:
WWW Link.
2408
Monocular human pose and shape estimation,
Out-of-domain adaptation, Self-attention, Rendering loss function
BibRef
Wu, X.J.[Xin-Ju],
Zhang, P.P.[Ping-Ping],
Wang, M.[Meng],
Chen, P.L.[Pei-Lin],
Wang, S.Q.[Shi-Qi],
Kwong, S.[Sam],
Geometric Prior Based Deep Human Point Cloud Geometry Compression,
CirSysVideo(34), No. 9, September 2024, pp. 8794-8807.
IEEE DOI
2410
Point cloud compression, Geometry, Encoding, Octrees, Feature extraction,
Solid modeling, Point cloud compression, geometric prior
BibRef
Liu, F.[Feng],
Kim, M.[Minchul],
Ren, Z.Y.[Zhi-Yuan],
Liu, X.M.[Xiao-Ming],
Distilling CLIP with Dual Guidance for Learning Discriminative Human
Body Shape Representation,
CVPR24(256-266)
IEEE DOI
2410
Visualization, Solid modeling, Shape, Prevention and mitigation, Linguistics
BibRef
Mohamed, M.[Mirgahney],
Agapito, L.[Lourdes],
GNPM: Geometric-Aware Neural Parametric Models,
3DV22(166-175)
IEEE DOI
2408
Training, Point cloud compression, Interpolation,
Image segmentation, Shape, Deformation, 4D dynamics, Self Supervised
BibRef
Ruiz, N.[Nataniel],
Bellver, M.[Miriam],
Bolkart, T.[Timo],
Arora, A.[Ambuj],
Lin, M.C.[Ming C.],
Romero, J.[Javier],
Bala, R.[Raja],
Human Body Measurement Estimation with Adversarial Augmentation,
3DV22(219-230)
IEEE DOI Code:
WWW Link.
2408
Training, Weight measurement, Shape, Shape measurement,
Biological system modeling, Measurement uncertainty, dataset
BibRef
Hartman, E.[Emmanuel],
Pierson, E.[Emery],
Bauer, M.[Martin],
Charon, N.[Nicolas],
Daoudi, M.[Mohamed],
BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes,
ICCV23(14135-14145)
IEEE DOI
2401
BibRef
Zhang, Y.F.[Yu-Fei],
Wang, H.[Hanjing],
Kephart, J.O.[Jeffrey O.],
Ji, Q.[Qiang],
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body
Reconstruction,
ICCV23(8986-8998)
IEEE DOI
2401
BibRef
Takmaz, A.[Ayça],
Schult, J.[Jonas],
Kaftan, I.[Irem],
Akçay, M.[Mertcan],
Leibe, B.[Bastian],
Sumner, R.[Robert],
Engelmann, F.[Francis],
Tang, S.[Siyu],
3D Segmentation of Humans in Point Clouds with Synthetic Data,
ICCV23(1292-1304)
IEEE DOI
2401
BibRef
Wehrbein, T.[Tom],
Rosenhahn, B.[Bodo],
Matthews, I.D.[Iain D.],
Stoll, C.[Carsten],
Personalized 3D Human Pose and Shape Refinement,
CVMeta23(4191-4201)
IEEE DOI
2401
BibRef
Ho, H.I.[Hsuan-I],
Xue, L.X.[Li-Xin],
Song, J.[Jie],
Hilliges, O.[Otmar],
Learning Locally Editable Virtual Humans,
CVPR23(21024-21035)
IEEE DOI
2309
BibRef
Shetty, K.[Karthik],
Birkhold, A.[Annette],
Jaganathan, S.[Srikrishna],
Strobel, N.[Norbert],
Kowarschik, M.[Markus],
Maier, A.[Andreas],
Egger, B.[Bernhard],
PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body
Estimation,
CVPR23(574-584)
IEEE DOI
2309
BibRef
Sarkar, R.[Rohan],
Dave, A.[Achal],
Medioni, G.[Gerard],
Biggs, B.[Benjamin],
Shape of You: Precise 3D shape estimations for diverse body types,
CVFAD23(3520-3524)
IEEE DOI
2309
BibRef
Kim, S.H.[Seung-Hyun],
Lee, K.[Kunyoung],
Lee, E.C.[Eui Chul],
Multi-View Body Image-Based Prediction of Body Mass Index and Various
Body Part Sizes,
CVPM23(6034-6041)
IEEE DOI
2309
BibRef
Shu, H.[Huaijing],
Ren, L.R.[Li-Rong],
Pan, L.P.[Li-Ping],
Huang, D.[Dongmin],
Lu, H.Z.[Hong-Zhou],
Wang, W.J.[Wen-Jin],
Single Image based Infant Body Height and Weight Estimation,
CVPM23(6052-6059)
IEEE DOI
2309
BibRef
Clever, H.M.,
Erickson, Z.,
Kapusta, A.,
Turk, G.,
Liu, C.K.,
Kemp, C.C.,
Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure
Image Using Synthetic Data,
CVPR20(6214-6223)
IEEE DOI
2008
Shape, Solid modeling, Physics,
Data models, Biological system modeling, Machine learning
BibRef
Mirabet-Herranz, N.[Nelida],
Mallat, K.[Khawla],
Dugelay, J.L.[Jean-Luc],
New Insights on Weight Estimation from Face Images,
FG23(1-6)
IEEE DOI
2303
Weight measurement, Performance evaluation, Hair, Road accidents,
Protocols, Face recognition, Transfer learning
BibRef
Zhu, H.D.[Hai-Dong],
Yuan, Y.[Ye],
Zhu, Y.H.[Yi-Heng],
Yang, X.[Xiao],
Nevatia, R.[Ram],
OPEN: Order-preserving Pointcloud Encoder Decoder Network for Body
Shape Refinement,
ICPR22(521-527)
IEEE DOI
2212
Point cloud compression, Deep learning, Shape, Neural networks,
Estimation, Image sequences
BibRef
Te, G.[Gusi],
Li, X.[Xiu],
Li, X.[Xiao],
Wang, J.L.[Jing-Lu],
Hu, W.[Wei],
Lu, Y.[Yan],
Neural Capture of Animatable 3D Human from Monocular Video,
ECCV22(VI:275-291).
Springer DOI
2211
BibRef
Shao, R.Z.[Rui-Zhi],
Zheng, Z.R.[Ze-Rong],
Zhang, H.W.[Hong-Wen],
Sun, J.X.[Jing-Xiang],
Liu, Y.B.[Ye-Bin],
DiffuStereo: High Quality Human Reconstruction via Diffusion-Based
Stereo Using Sparse Cameras,
ECCV22(XXXII:702-720).
Springer DOI
2211
BibRef
Yao, C.H.[Chun-Han],
Yang, J.[Jimei],
Ceylan, D.[Duygu],
Zhou, Y.[Yi],
Zhou, Y.[Yang],
Yang, M.H.[Ming-Hsuan],
Learning Visibility for Robust Dense Human Body Estimation,
ECCV22(I:412-428).
Springer DOI
2211
BibRef
Kim, M.[Mira],
Min, Y.[Youngjo],
Kim, J.[Jiwon],
Kim, S.[Seungryong],
Meta-Learned Initialization For 3D Human Recovery,
ICIP22(4238-4242)
IEEE DOI
2211
Learning systems, Solid modeling, Adaptation models,
Benchmark testing, Predictive models, Cameras, 3D reconstruction,
optimization-based meta-learning
BibRef
Shao, R.Z.[Rui-Zhi],
Zhang, H.W.[Hong-Wen],
Zhang, H.[He],
Chen, M.J.[Ming-Jia],
Cao, Y.P.[Yan-Pei],
Yu, T.[Tao],
Liu, Y.B.[Ye-Bin],
DoubleField: Bridging the Neural Surface and Radiance Fields for
High-fidelity Human Reconstruction and Rendering,
CVPR22(15851-15861)
IEEE DOI
2210
Geometry, Surface reconstruction, Codes, Fuses,
Rendering (computer graphics), Transformers,
Image and video synthesis and generation
BibRef
Thakkar, N.[Neerja],
Pavlakos, G.[Georgios],
Farid, H.[Hany],
The Reliability of Forensic Body-Shape Identification,
WMF22(44-52)
IEEE DOI
2210
Weight measurement, Shape, Forensics, Shape measurement, Estimation
BibRef
Wang, Z.[Zhe],
Yang, J.[Jimei],
Fowlkes, C.[Charless],
The Best of Both Worlds: Combining Model-based and Nonparametric
Approaches for 3D Human Body Estimation,
ABAW22(2317-2326)
IEEE DOI
2210
Solid modeling, Surface reconstruction, Shape,
Biological system modeling, Estimation, Predictive models
BibRef
Tejeda, Y.G.[Yansel González],
Mayer, H.A.[Helmut A.],
Effect of Gender, Pose and Camera Distance on Human Body Dimensions
Estimation,
T-CAP22(179-190).
Springer DOI
2208
BibRef
Kocabas, M.[Muhammed],
Huang, C.H.P.[Chun-Hao P.],
Hilliges, O.[Otmar],
Black, M.J.[Michael J.],
PARE: Part Attention Regressor for 3D Human Body Estimation,
ICCV21(11107-11117)
IEEE DOI
2203
Codes, Shape, Sensitivity analysis, Pose estimation,
Benchmark testing, Gestures and body pose,
3D from a single image and shape-from-x
BibRef
Pierson, E.[Emery],
Daoudi, M.[Mohamed],
Tumpach, A.B.[Alice-Barbara],
A Riemannian Framework for Analysis of Human Body Surface,
WACV22(2763-2772)
IEEE DOI
2202
Shape, Extraterrestrial measurements, Distortion, Elbow,
Grouping and Shape Biometrics
BibRef
Li, Z.[Ziwen],
Xu, B.[Bo],
Huang, H.[Han],
Lu, C.[Cheng],
Guo, Y.D.[Yan-Dong],
Deep Two-Stream Video Inference for Human Body Pose and Shape
Estimation,
WACV22(637-646)
IEEE DOI
2202
Solid modeling, Shape,
Biological system modeling, Estimation, Transformers,
3D Computer Vision Action and Behavior Recognition
BibRef
Tan, F.T.[Fei-Tong],
Tang, D.H.[Dan-Hang],
Dou, M.S.[Ming-Song],
Guo, K.W.[Kai-Wen],
Pandey, R.[Rohit],
Keskin, C.[Cem],
Du, R.F.[Ruo-Fei],
Sun, D.Q.[De-Qing],
Bouaziz, S.[Sofien],
Fanello, S.[Sean],
Tan, P.[Ping],
Zhang, Y.[Yinda],
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences,
CVPR21(1820-1830)
IEEE DOI
2111
Deep learning, Image segmentation,
Shape, Semantics, Buildings
BibRef
Lombardi, S.[Sandro],
Yang, B.B.[Bang-Bang],
Fan, T.X.[Tian-Xing],
Bao, H.J.[Hu-Jun],
Zhang, G.F.[Guo-Feng],
Pollefeys, M.[Marc],
Cui, Z.P.[Zhao-Peng],
LatentHuman: Shape-and-Pose Disentangled Latent Representation for
Human Bodies,
3DV21(278-288)
IEEE DOI
2201
Solid modeling, Interpolation, Shape, Tracking,
Biological system modeling, Computational modeling,
implicit neural representations
BibRef
Ugrinovic, N.[Nicolas],
Ruiz, A.[Adria],
Agudo, A.[Antonio],
Sanfeliu, A.[Alberto],
Moreno-Noguer, F.[Francesc],
Body Size and Depth Disambiguation in Multi-Person Reconstruction
from Single Images,
3DV21(53-63)
IEEE DOI
2201
Measurement, Solid modeling, Image segmentation, Shape, Semantics,
Pose estimation, multi-person 3D pose estimation, SMPL,
gradient descent
BibRef
Zhao, Z.[Zibo],
Liu, W.[Wen],
Xu, Y.Y.[Yan-Yu],
Chen, X.[Xianing],
Luo, W.X.[Wei-Xin],
Jin, L.[Lei],
Zhu, B.[Bohui],
Liu, T.[Tong],
Zhao, B.Q.[Bin-Qiang],
Gao, S.H.[Sheng-Hua],
Prior Based Human Completion,
CVPR21(7947-7957)
IEEE DOI
2111
Image segmentation, Correlation, Shape,
Biological system modeling, Computational modeling, Semantics
BibRef
Xue, F.[Fei],
Budvytis, I.[Ignas],
Cipolla, R.[Roberto],
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling,
CVPR23(21317-21326)
IEEE DOI
2309
BibRef
Sengupta, A.[Akash],
Budvytis, I.[Ignas],
Cipolla, R.[Roberto],
Probabilistic 3D Human Shape and Pose Estimation from Multiple
Unconstrained Images in the Wild,
CVPR21(16089-16099)
IEEE DOI
2111
Measurement, Uncertainty, Shape,
Pose estimation, Gaussian distribution, Probabilistic logic
BibRef
Zanfir, A.[Andrei],
Bazavan, E.G.[Eduard Gabriel],
Zanfir, M.[Mihai],
Freeman, W.T.[William T.],
Sukthankar, R.[Rahul],
Sminchisescu, C.[Cristian],
Neural Descent for Visual 3D Human Pose and Shape,
CVPR21(14479-14488)
IEEE DOI
2111
Training, Solid modeling, Visualization,
Shape, Face recognition, Semantics
BibRef
Shibata, K.[Keisuke],
Lee, S.[Sangeun],
Nobuhara, S.[Shohei],
Nishino, K.[Ko],
Consistent 3D Human Shape from Repeatable Action,
DynaVis21(1770-1779)
IEEE DOI
2109
Learning systems, Surface reconstruction, Shape, Biological system modeling,
Cameras
BibRef
Thakkar, N.[Neerja],
Farid, H.[Hany],
On the Feasibility of 3D Model-Based Forensic Height and Weight
Estimation,
WMF21(953-961)
IEEE DOI
2109
Weight measurement, Fault diagnosis, Solid modeling,
Computational modeling, Roads, Estimation
BibRef
Li, Z.G.[Zhong-Guo],
Oskarsson, M.[Magnus],
Heyden, A.[Anders],
3D Human Pose and Shape Estimation Through Collaborative Learning and
Multi-view Model-fitting,
WACV21(1887-1896)
IEEE DOI
2106
Training, Deep learning, Solid modeling,
Shape, Estimation
BibRef
Yang, K.Z.[Kai-Zhi],
Lu, J.T.[Jin-Tao],
Hu, S.[Siyu],
Chen, X.J.[Xue-Jin],
Deep 3d Modeling of Human Bodies from Freehand Sketching,
MMMod21(II:36-48).
Springer DOI
2106
BibRef
Mameli, M.[Marco],
Paolanti, M.[Marina],
Conci, N.[Nicola],
Tessaro, F.[Filippo],
Frontoni, E.[Emanuele],
Zingaretti, P.[Primo],
Weight Estimation from an RGB-D camera in top-view configuration,
ICPR21(7715-7722)
IEEE DOI
2105
Neural networks, Estimation, Cameras,
Business intelligence, Task analysis, Weight Estimation,
Top-View Configuration
BibRef
Li, Z.G.[Zhong-Guo],
Oskarsson, M.[Magnus],
Heyden, A.[Anders],
Learning to Implicitly Represent 3D Human Body From Multi-scale
Features and Multi-view Images,
ICPR21(8968-8975)
IEEE DOI
2105
Training, Solid modeling, Shape,
Biological system modeling, Neural networks, Feature extraction,
multi-scale features
BibRef
Moro, M.[Matteo],
Rizzoglio, F.[Fabio],
Odone, F.[Francesca],
Casadio, M.[Maura],
A Video-based Markerless Body Machine Interface: A Pilot Study,
CARE20(233-240).
Springer DOI
2103
BibRef
Jinka, S.S.,
Chacko, R.,
Sharma, A.,
Narayanan, P.J.,
PeeledHuman: Robust Shape Representation for Textured 3D Human Body
Reconstruction,
3DV20(879-888)
IEEE DOI
2102
Shape, Image reconstruction,
Solid modeling, Clothing, Cameras, Computational modeling,
end to end textured reconstruction of humans
BibRef
Beacco, A.,
Gallego, J.,
Slater, M.,
Automatic 3D Character Reconstruction from Frontal and Lateral
Monocular 2D RGB Views,
ICIP20(2785-2789)
IEEE DOI
2011
Image reconstruction, Solid modeling,
Shape, Cameras, Image color analysis, Animatable 3D reconstruction
BibRef
Zhang, T.,
Wang, J.,
Zhu, Q.,
Yin, B.,
See Through Occlusions: Detailed Human Shape Estimation From A Single
Image With Occlusions,
ICIP20(2646-2650)
IEEE DOI
2011
Image reconstruction, Shape, Strain,
Standards, Surface reconstruction,
human body
BibRef
Liu, Y.,
Tian, M.,
Hou, J.,
Yi, S.,
Lin, Z.,
Pentadent-Net: Pedestrian Attribute Recognition With Distance
Refinement And Correlation Mining,
ICIP20(2211-2215)
IEEE DOI
2011
Feature extraction, Correlation, Training, Predictive models,
Convolution, Mathematical model, Machine learning, Deep Learning
BibRef
Lee, B.C.[Brian C.],
Tward, D.J.[Daniel J.],
Hu, Z.Y.[Zhi-Yi],
Trouvé, A.[Alain],
Miller, M.I.[Michael I.],
Infinitesimal Drift Diffeomorphometry Models for Population Shape
Analysis,
Diff-CVML20(3766-3775)
IEEE DOI
2008
Computational anatomy.
Sociology, Statistics, Shape, Mathematical model,
Computational modeling, Stochastic processes, Trajectory
BibRef
Yin, F.,
Zhou, S.,
Accurate Estimation of Body Height From a Single Depth Image via a
Four-Stage Developing Network,
CVPR20(8264-8273)
IEEE DOI
2008
Cameras, Image segmentation, Torso, Head, Estimation,
Legged locomotion, Network architecture
BibRef
Tan, F.,
Zhu, H.,
Cui, Z.,
Zhu, S.,
Pollefeys, M.,
Tan, P.,
Self-Supervised Human Depth Estimation From Monocular Videos,
CVPR20(647-656)
IEEE DOI
2008
Shape, Computational modeling, Videos, Estimation,
Biological system modeling, Skeleton
BibRef
Bieler, D.,
Günel, S.G.,
Fua, P.,
Rhodin, H.,
Gravity as a Reference for Estimating a Person's Height From Video,
ICCV19(8568-8576)
IEEE DOI
2004
calibration, cameras, estimation theory, geometry,
image motion analysis, image sequences, object detection, Estimation
BibRef
Polania, L.,
Fung, G.,
Wang, D.,
Ordinal Regression Using Noisy Pairwise Comparisons for Body Mass
Index Range Estimation,
WACV19(782-790)
IEEE DOI
1904
face recognition, image denoising, pattern classification,
regression analysis, search problems, Siamese architectures,
Search problems
BibRef
Alldieck, T.,
Pons-Moll, G.,
Theobalt, C.,
Magnor, M.,
Tex2Shape: Detailed Full Human Body Geometry From a Single Image,
ICCV19(2293-2303)
IEEE DOI
2004
clothing, computer graphics, feature extraction,
image reconstruction, image representation, image texture, Hair
BibRef
Jiang, H.,
Cai, J.,
Zheng, J.,
Skeleton-Aware 3D Human Shape Reconstruction From Point Clouds,
ICCV19(5430-5440)
IEEE DOI
2004
feature extraction, graph theory, image reconstruction,
image representation, learning (artificial intelligence),
Solid modeling
BibRef
Gabeur, V.,
Franco, J.,
Martin, X.,
Schmid, C.,
Rogez, G.,
Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single
Images,
ICCV19(2232-2241)
IEEE DOI
2004
image colour analysis, image motion analysis,
image reconstruction, image representation, image resolution,
Surface reconstruction
BibRef
Zhu, H.[Hao],
Su, H.[Hao],
Wang, P.[Peng],
Cao, X.[Xun],
Yang, R.G.[Rui-Gang],
View Extrapolation of Human Body from a Single Image,
CVPR18(4450-4459)
IEEE DOI
1812
Shape, Solid modeling,
Image generation, Geometry, Estimation
BibRef
Kanazawa, A.[Angjoo],
Black, M.J.,
Jacobs, D.W.,
Malik, J.,
End-to-End Recovery of Human Shape and Pose,
CVPR18(7122-7131)
IEEE DOI
1812
Shape,
Solid modeling, Joints, Biological system modeling, Estimation
BibRef
Pavlakos, G.,
Zhu, L.,
Zhou, X.,
Daniilidis, K.,
Learning to Estimate 3D Human Pose and Shape from a Single Color
Image,
CVPR18(459-468)
IEEE DOI
1812
Shape,
Training, Color, Estimation, Predictive models
BibRef
Omran, M.,
Lassner, C.,
Pons-Moll, G.,
Gehler, P.,
Schiele, B.,
Neural Body Fitting: Unifying Deep Learning and Model Based Human
Pose and Shape Estimation,
3DV18(484-494)
IEEE DOI
1812
feedforward neural nets, image representation,
image segmentation, learning (artificial intelligence),
model-based and learning-based human pose and shape estimation
BibRef
Varol, G.[Gül],
Ceylan, D.[Duygu],
Russell, B.[Bryan],
Yang, J.[Jimei],
Yumer, E.[Ersin],
Laptev, I.[Ivan],
Schmid, C.[Cordelia],
BodyNet: Volumetric Inference of 3D Human Body Shapes,
ECCV18(VII: 20-38).
Springer DOI
1810
BibRef
Shabayek, A.E.[A. El_Rahman],
Aouada, D.,
Saint, A.,
Ottersten, B.,
Deformation transfer of 3D human shapes and poses on manifolds,
ICIP17(220-224)
IEEE DOI
1803
Computational modeling, Deformable models, Indexes, Manifolds, Shape,
Strain, Deformation transfer,
shape modeling
BibRef
Lassner, C.,
Romero, J.,
Kiefel, M.,
Bogo, F.,
Black, M.J.,
Gehler, P.V.,
Unite the People: Closing the Loop Between 3D and 2D Human
Representations,
CVPR17(4704-4713)
IEEE DOI
1711
Computational modeling, Image segmentation, Shape, Solid modeling
BibRef
Zhang, C.,
Pujades, S.,
Black, M.,
Pons-Moll, G.,
Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan
Sequences,
CVPR17(5484-5493)
IEEE DOI
1711
Clothing, Deformable models, Estimation, Numerical models, Shape,
Strain,
BibRef
Bogo, F.[Federica],
Kanazawa, A.[Angjoo],
Lassner, C.[Christoph],
Gehler, P.V.[Peter V.],
Romero, J.[Javier],
Black, M.J.[Michael J.],
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a
Single Image,
ECCV16(V: 561-578).
Springer DOI
1611
BibRef
Dibra, E.[Endri],
Öztireli, C.[Cengiz],
Ziegler, R.[Remo],
Gross, M.[Markus],
Shape from Selfies:
Human Body Shape Estimation Using CCA Regression Forests,
ECCV16(IV: 88-104).
Springer DOI
1611
BibRef
Xu, Z.Y.[Zong-Yi],
Zhang, Q.[Qianni],
Symmetry-Aware Human Shape Correspondence Using Skeleton,
MMMod16(I: 632-641).
Springer DOI
1601
BibRef
Perbet, F.[Frank],
Johnson, S.[Sam],
Pham, M.T.[Minh-Tri],
Stenger, B.[Bjorn],
Human Body Shape Estimation Using a Multi-resolution Manifold Forest,
CVPR14(668-675)
IEEE DOI
1409
3D shape estimation;human body fitting;manifold charting
BibRef
Rauschert, I.[Ingmar],
Collins, R.T.[Robert T.],
A Generative Model for Simultaneous Estimation of Human Body Shape and
Pixel-Level Segmentation,
ECCV12(V: 704-717).
Springer DOI
1210
BibRef
Peng, E.[En],
Li, L.[Ling],
Acquisition of 3-D surface shape of human body from monocular images
without pose estimation,
ICARCV12(1136-1141).
IEEE DOI
1304
BibRef
Earlier:
Acquiring human skeleton proportions from monocular images without
posture estimation,
ICARCV08(2250-2255).
IEEE DOI
1109
The description, not the pose.
BibRef
Xi, P.C.[Peng-Cheng],
Guo, H.Y.[Hong-Yu],
Shu, C.[Chang],
Human Body Shape Prediction and Analysis Using Predictive Clustering
Tree,
3DIMPVT11(196-203).
IEEE DOI
1109
BibRef
Nurre, J.H.,
Segmenting Human Body Data,
3DIM97(11 - Human Shape Modeling)
9702
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Models, 3-D Human Modeling .